A multi‐camera vision system for fall detection and alarm generation
Rita Cucchiara, Andrea Prati, Roberto Vezzani · Expert Systems · 2007
Abstract: In‐house video surveillance can represent an excellent support for people with some difficulties (e.g. elderly or disabled people) living alone and with a limited autonomy. New hardware technologies and in particular digital cameras are now affordable and they have recently gained credit as tools for (semi‐)automatically assuring people's safety. In this paper a multi‐camera vision system for detecting and tracking people and recognizing dangerous behaviours and events such as a fall is presented. In such a situation a suitable alarm can be sent, e.g. by means of an SMS. A novel technique of warping people's silhouette is proposed to exchange visual information between partially overlapped cameras whenever a camera handover occurs. Finally, a multi‐client and multi‐threaded transcoding video server delivers live video streams to operators/remote users in order to check the validity of a received alarm. Semantic and event‐based transcoding algorithms are used to optimize the bandwidth usage. A two‐room setup has been created in our laboratory to test the performance of the overall system and some of the results obtained are reported.